利用噪声与振动实现可持续机器人系统数字孪生博士研究员
Digital twins for sustainable robotic systems using noise and vibration
原帖优先：申请材料、截止时间与资格以原帖和学校官方说明为准。
博士招生与资助公告
- 申请年度
- 2027；原帖说明：How to apply Apply now You need to: • choose programme type (Research), 2027/28, Faculty of Engineering and Physical Sciences • select Full time or Part time • search for programme PhD Engineering & the Environment (7175) • add name of the supervisor in section 2 of the application Applications should include: • your CV (resumé) • 2 academic references • degree transcripts and certificates to date • English language qualification (if applicable)
- 最近申请截止
- 2027-01-08
- 全部申请截止
- （Europe/London）
- 资助原文
- Fees and funding We offer a range of funding opportunities for both UK and international students. Horizon Europe fee waivers automatically cover the difference between overseas and UK fees for qualifying students. Competition-based Presidential Bursaries from the University cover the difference between overseas and UK fees for top-ranked applicants. Competition-based studentships offered by our schools typically cover UK-level tuition fees and a stipend for living costs for top-ranked applicants. Funding will be awarded on a rolling basis, so apply early for the best opportunity to be considered. For more information, please visit our postgraduate research funding pages.
- 资助条件
- 原帖为竞争性或附条件资助说明，未确认本项目获资助及申请人能获奖；不作为保证全奖。
- 原帖材料说明
- • your CV (resumé)
- • 2 academic references
- • degree transcripts and certificates to date
- • English language qualification (if applicable)
确定性信息来自对应版本的完整原帖。原帖只提供日期，日末和学校当地时区为本站转换假设。筛选使用最后申请截止；资助与录取以学校审核结果为准。
AI 中文速览
- 研究内容
- 该博士项目旨在开发利用噪声和振动测量来估计机器人性能隐藏指标的数字孪生。项目结合基于物理的建模、传感和状态估计，创建虚拟传感技术，以提高未来机器人系统的效率、可靠性和可持续性，支持英国的净零排放目标。
- 申请条件
- 申请者需拥有英国 2:1 荣誉学士学位或其国际同等学历。
- 待遇
- 提供竞争性资助机会（包括英国本土及国际学生），顶级申请者可获得涵盖学费及生活费津贴的奖学金或总统奖学金（Presidential Bursaries），资助将以滚动方式颁发。
- 申请方式
- 申请人需通过大学系统在线申请，选择研究型项目（Programme type: Research）、2027/28学年、工程与物理科学学院，选择全职或兼职，搜索“PhD Engineering & the Environment (7175)”并在申请表第二部分添加导师姓名，截止日期为2027年1月8日。
- 材料清单
- 简历（CV / resumé）
- 2封学术推荐信
- 迄今为止的学位成绩单和证书
- 英语语言资格证明（如适用）
由 gemini-2.5-flash-lite 生成，博士岗判定置信度 100%。
岗位信息
- 最终轮次截止
- 2027-01-08
- 学科
- 工程
- 合同类型
- 项目资助
- 本站收录
- 内容更新
- 原帖导师候选（待核验）
- Dr Sjoerd Van Ophem
- 来源
- 南安普顿大学博士研究项目招生 · 最近核对 2026-10-24
- 详情核验
判定依据（原文摘录）
- 申请要求为2:1荣誉学位，未明确允许仅凭学士学位申请
A UK 2:1 honours degree, or its international equivalent.
原文
View all current projects
Postgraduate research project
Digital twins for sustainable robotic systems using noise and vibration
Funding
Competition funded
Competition funded
View fees and funding
Type of degree
Doctor of Philosophy
Entry requirements
2:1 honours degree
2:1 honours degree
View full entry requirements
Faculty graduate school
Faculty of Engineering and Physical Sciences
Closing date
8 Jan 2027
On this page
About the project
Potential supervisors
Entry requirements
Fees and funding
How to apply
Contact us
About the project
Potential supervisors
Entry requirements
Fees and funding
How to apply
Contact us
About the project
This PhD will develop digital twins that use noise and vibration measurements to estimate hidden indicators of robot performance. Combining physics-based modelling, sensing and state estimation, the project will create virtual sensing technologies that improve the efficiency, reliability and sustainability of future robotic systems in support of the UK's net-zero ambitions.
Robots are playing an increasingly important role in manufacturing, logistics, healthcare, infrastructure inspection and autonomous transport. As the UK progresses towards its net-zero ambitions, robotic systems are expected to improve productivity, reduce waste, support sustainable manufacturing and enable the efficient operation of critical infrastructure. To maximise these benefits, robots must operate efficiently, reliably and safely throughout their lifetime.
However, many quantities that determine robot performance remain difficult or expensive to measure directly. Examples include cutting forces in robotic surgery, wheel-ground interactions in autonomous mobile robots, component degradation and energy-loss mechanisms. At the same time, robots naturally generate noise and vibration that contain valuable information about the dynamic processes occurring within the system.
This PhD project will investigate how noise and vibration measurements can be transformed into estimates of robot performance using next-generation digital twins. The successful candidate will develop physics-informed virtual sensing techniques that combine numerical models with sensor measurements using state-estimation and data-assimilation methods. The resulting digital twins will act as virtual sensors, providing estimates of quantities that are difficult or impossible to measure directly.
The developed methods could enable robots to operate more efficiently, reliably and sustainably by improving condition monitoring, reducing maintenance requirements, extending asset life and supporting intelligent control strategies.
The project combines aspects of robotics, structural dynamics, acoustics, sensing, artificial intelligence and digital twins.
You will have access to world-leading experimental facilities and expertise of the Institute of Sound and Vibration Research (ISVR) while contributing to the development of the next generation of intelligent robotic systems.
The School of Engineering is committed to promoting equality, diversity inclusivity as demonstrated by our Athena SWAN award. We welcome all applicants regardless of their gender, ethnicity, disability, sexual orientation or age, and will give full consideration to applicants seeking flexible working patterns and those who have taken a career break. The University has a generous maternity policy, onsite childcare facilities, and offers a range of benefits to help ensure employees’ well-being and work-life balance. The University of Southampton is committed to sustainability and has been awarded the Platinum EcoAward.
Potential supervisors
Lead supervisor
Dr Sjoerd Van Ophem
PhD
Lecturer in Structural Dynamics
Research interests
• Vibro-acoustic analysis
• Model order reduction
• Digital twins
Entry requirements
A UK 2:1 honours degree, or its international equivalent.
Fees and funding
We offer a range of funding opportunities for both UK and international students. Horizon Europe fee waivers automatically cover the difference between overseas and UK fees for qualifying students.
Competition-based Presidential Bursaries from the University cover the difference between overseas and UK fees for top-ranked applicants.
Competition-based studentships offered by our schools typically cover UK-level tuition fees and a stipend for living costs for top-ranked applicants.
Funding will be awarded on a rolling basis, so apply early for the best opportunity to be considered.
For more information, please visit our postgraduate research funding pages.
How to apply
Apply now
You need to:
• choose programme type (Research), 2027/28, Faculty of Engineering and Physical Sciences
• select Full time or Part time
• search for programme PhD Engineering & the Environment (7175)
• add name of the supervisor in section 2 of the application
Applications should include:
• your CV (resumé)
• 2 academic references
• degree transcripts and certificates to date
• English language qualification (if applicable)
Contact us
Faculty of Engineering and Physical Sciences
For questions about applying, email our Doctoral College (doctoralcollege-admissions@soton.ac.uk).
Project leader
For an initial conversation, email Dr Sjoerd van Ophem (s.van-ophem@soton.ac.uk).